title: An ultra-low power (ULP) bandage-type ECG sensor for efficient cardiac disease management.
abstract: This paper proposed an ultra-low power bandage-type ECG sensor (the size: 76 × 34 × 3 (mm(3)) and the power consumption: 1 mW) which allows for a continuous and real-time monitoring of a user's ECG signals over 24h during daily activities. For its compact size and lower power consumption, we designed the analog front-end, the SRP (Samsung Reconfigurable Processor) based DSP of 30 uW/MHz, and the ULP wireless RF of 1 nJ/bit. Also, to tackle motion artifacts(MA), a MA monitoring technique based on the HCP (Half-cell Potential) is proposed which resulted in the high correlation between the MA and the HCP, the correlation coefficient of 0.75 ± 0.18. To assess its feasibility and validity as a wearable health monitor, we performed the comparison of two ECG signals recorded form it and a conventional Holter device. As a result, the performance of the former is a little lower as compared with the latter, although showing no statistical significant difference (the quality of the signal: 94.3% vs 99.4%; the accuracy of arrhythmia detection: 93.7% vs 98.7%). With those results, it has been confirmed that it can be used as a wearable health monitor due to its comfortability, its long operation lifetime and the good quality of the measured ECG signal.
authors.forename: Kunsoo
authors.initials: K
authors.lastname: Shin
authors.forename: G G
authors.initials: GG
authors.lastname: Park
authors.forename: J P
authors.initials: JP
authors.lastname: Kim
authors.forename: T H
authors.initials: TH
authors.lastname: Lee
authors.forename: B H
authors.initials: BH
authors.lastname: Ko
authors.forename: Y H
authors.initials: YH
authors.lastname: Kim
mesh_terms: D016477:Artifacts; D002318:Cardiovascular Diseases / Q000000981:diagnostic imaging*; D004560:Electricity; D004562:Electrocardiography / Q000295:instrumentation*; D004566:Electrodes; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation; D009038:Motion; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D014463:Ultrasonography; D055986:Vital Signs; D059015:Wireless Technology